{"id":"W2132744522","doi":"10.1016/j.cell.2015.04.051","title":"Yeast Proteome Dynamics from Single Cell Imaging and Automated Analysis","year":2015,"lang":"en","type":"article","venue":"Cell","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":297,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Proteome; Biology; Computational biology; Proteomics; Protein subcellular localization prediction; Pipeline (software); Genomics; Genome; Genetics; Computer science; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003717301,0.0001068564,0.0001348839,0.00004167262,0.00004792819,0.00004395968,0.0001227068,0.00005557906,0.0000618904],"category_scores_gemma":[0.000005808631,0.0001117503,0.00004252378,0.000186666,0.00003877475,0.00005950912,0.00007825712,0.000101421,0.00001955955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008979357,"about_ca_system_score_gemma":0.00001760734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001274078,"about_ca_topic_score_gemma":0.0000129334,"domain_scores_codex":[0.9993894,0.000005032068,0.0001386152,0.0002463922,0.0000789042,0.000141716],"domain_scores_gemma":[0.9994319,0.00001180404,0.00009141494,0.0003074605,0.00004878309,0.0001086181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008922947,0.0001391628,0.004357043,0.00003234568,0.00002935517,0.000005776375,0.0001545813,0.0002654264,0.9934909,0.00003573433,0.0005594703,0.0009212919],"study_design_scores_gemma":[0.0002435846,0.000005004662,0.00005927424,0.000006678978,0.0001181076,9.615676e-7,0.0001996838,0.2203618,0.7745809,0.00193812,0.002303639,0.0001822173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8720063,0.0002371103,0.08428467,0.0001070513,0.00001293983,0.0001582741,0.0002099243,0.0008548707,0.04212884],"genre_scores_gemma":[0.9272362,0.000008426618,0.07122326,0.00002409963,0.00003273755,0.00004868483,0.0002372812,0.0000207319,0.001168601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2200964,"threshold_uncertainty_score":0.4557045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001247372069541,"score_gpt":0.2430906649104264,"score_spread":0.233078191189731,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}